




'''simple docstring'''


def     SCREAMING_SNAKE_CASE							(   a_						:				int					,       a_						:				float					,       a_						:				float      ):
  return round(float(moles / volume      ) * nfactor      )


def     SCREAMING_SNAKE_CASE							(   a_						:				float					,       a_						:				float					,       a_						:				float      ):
  return round(float((moles * 0.08_21 * temperature) / (volume)      )      )


def     SCREAMING_SNAKE_CASE							(   a_						:				float					,       a_						:				float					,       a_						:				float      ):
  return round(float((moles * 0.08_21 * temperature) / (pressure)      )      )


def     SCREAMING_SNAKE_CASE							(   a_						:				float					,       a_						:				float					,       a_						:				float      ):
  return round(float((pressure * volume) / (0.08_21 * moles)      )      )


if __name__ == "__main__":
  import doctest

  doctest.testmod()









'''simple docstring'''


from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase_					=   {
    "configuration_trajectory_transformer": [
        "TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "TrajectoryTransformerConfig",
    ],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCAmelCase_					=   [
      "TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
      "TrajectoryTransformerModel",
      "TrajectoryTransformerPreTrainedModel",
      "load_tf_weights_in_trajectory_transformer",
  ]


if TYPE_CHECKING:
  from .configuration_trajectory_transformer import (
      TRAJECTORY_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
      TrajectoryTransformerConfig,
  )

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_trajectory_transformer import (
        TRAJECTORY_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        TrajectoryTransformerModel,
        TrajectoryTransformerPreTrainedModel,
        load_tf_weights_in_trajectory_transformer,
    )


else:
  import sys

  UpperCAmelCase_					=   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



